Incremental Learning of Gaussian Mixture Models (IGMM)
Implemented as part of:
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J. M. Acevedo-Valle; K. Trejo, C. Angulo, "Multivariate Regression with Incremental Learning of Gaussian Mixture Models." In Recent Advances in Artificial Intelligence Research and Development: Proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence, Deltebre, Terres de l'Ebre, Spain, October 25–27, 2017.
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J. M. Acevedo-Valle; V. Hafner, C. Angulo, "Social Reinforcement in Intrinsically Motivated Sensorimotor Exploration for Embodied Agents with Constraints Awareness." In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2017 Joint IEEE International Conferences. IEEE, 2017.[Accepted]
- Version 1.0
Prerequisites: numpy scipy ->Sklearn Additional prerequisites for igmm_cond: -> PyPR
-To execute the executable files add the igmm directory to your python path, or otherwise, move the executables to the parent directory 'igmm'
- Juan M. Acevedo-Valle ([email protected])